Value Added (Agriculture, Forestry and Fishing) β€” Value US$ in Thailand

Thailand: Value Added (Agriculture, Forestry and Fishing) β€” Value US$ was 45,836 million USD in 2024. β—† Volatile

Latest (2024)
45,836 million USD
Change on year
up 3.9%
World rank
13th
of 197 countries
All-time high
47,591 million USD
in 2013
All-time low
1,838 million USD
in 1971
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) β€” Value US$ in Thailand, 1970–2024

010.0k20.0k30.0k40.0k50.0k197019972024

Source: Food and Agriculture Organization of the United Nations. Measured in million USD.

Analysis

In 2024, value added (agriculture, forestry and fishing) β€” value us$ in Thailand stood at 45,836 million USD.

That represents a change of up 3.9% on the previous year and up 11.5% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) β€” value us$ in Thailand peaked at 47,591 million USD in 2013 and was at its lowest, 1,838 million USD, in 1971.

That places Thailand 13th out of 197 countries with data for 2024, putting it in the top 10%.

The series is highly variable year to year, so single readings are best treated with caution.

Averages by decade

DecadeAverage LowestHighest Years
1970s 3,987 million USD 1,838 million USD 6,849 million USD 10
1980s 8,331 million USD 6,373 million USD 12,887 million USD 10
1990s 12,242 million USD 8,833 million USD 16,589 million USD 10
2000s 18,293 million USD 10,321 million USD 29,349 million USD 10
2010s 40,809 million USD 35,046 million USD 47,591 million USD 10
2020s 44,155 million USD 43,243 million USD 45,836 million USD 5

Countries ranked near Thailand

  1. 10 Australia and New Zealand 49,149 million USD compare
  2. 11 Bangladesh 48,315 million USD compare
  3. 12 Italy 47,659 million USD compare
  4. 14 France 45,272 million USD compare
  5. 15 Spain 43,741 million USD compare
  6. 16 Egypt 42,083 million USD compare

See the full ranking of 249 places β†’

More environment data for Thailand

All data for Thailand β†’

Frequently asked questions

What is value added (agriculture, forestry and fishing) β€” value us$ in Thailand?
Value added (agriculture, forestry and fishing) β€” value us$ in Thailand was 45,836 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture, forestry and fishing) β€” value us$ recorded in Thailand?
The highest recorded value was 47,591 million USD in 2013.
What is the lowest value added (agriculture, forestry and fishing) β€” value us$ recorded in Thailand?
The lowest recorded value was 1,838 million USD in 1971.
How does Thailand rank for value added (agriculture, forestry and fishing) β€” value us$?
Thailand ranks 13th out of 197 countries with data for 2024.
Is value added (agriculture, forestry and fishing) β€” value us$ rising or falling in Thailand?
Over the last ten years it is up 11.5%. The long-run trend across the full record is volatile.
Where does this Thailand data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) β€” Value US$. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) β€” Value US$ in Thailand. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-us/thailand/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) β€” Value US$
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
249 places, 12,769 data points, 1970–2024
Last refreshed

The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).